EU-wide maps of growing stock and above-ground biomass in forests based on remote sensing and field measurements

Forest Ecology and Management

Volumn 260, Issue 3, 2010, Pages 252-261

  Gallaun, Heinz ^a   Zanchi, Giuliana ^a   Nabuurs, Gert Jan ^b   Hengeveld, Geerten ^b   Schardt, Mathias ^a   Verkerk, Pieter J ^c  

^a JOANNEUM RESEARCH   (Austria)

^b WAGENINGEN UNIVERSITY   (Netherlands)

^c EUROPEAN FOREST INSTITUTE   (Finland)

Author keywords

Biomass; Carbon; Forest inventory; Growing stock; MODIS; Remote sensing

Indexed keywords

ABOVE GROUND BIOMASS; ABOVE-GROUND WOODY BIOMASS; ARMENIA; AZERBAIJAN; BELARUS; BIOMASS CONVERSION; BROADLEAVED; CARBON STOCKS; CLASSIFICATION ,; CLASSIFICATION RESULTS; CORRELATION COEFFICIENT; EUROPEAN UNION; EXPANSION FACTORS; FIELD MEASUREMENT; FIELD MEASUREMENT DATA; FOREST INVENTORY; GEORGIA; GRID CELLS; GROWING STOCK; GROWING STOCKS; MEAN ABSOLUTE ERROR; MEASUREMENT UNITS; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; MODIS; NATIONAL FOREST INVENTORIES; REGIONAL LEVELS; REMOTELY SENSED DATA; SATELLITE REMOTE SENSING DATA; SPATIAL RESOLUTION; TREE SPECIES; UKRAINE; UPSCALING;

BIOCONVERSION; BIOMASS; CLASSIFICATION (OF INFORMATION); ELECTRIC FIELD MEASUREMENT; RADIOMETERS; REMOTE SENSING; SATELLITE IMAGERY; UNITS OF MEASUREMENT;

FORESTRY;

ABOVEGROUND BIOMASS; CLASSIFICATION; CONIFEROUS TREE; FOREST COVER; FOREST INVENTORY; MAPPING METHOD; MODIS; REMOTE SENSING; SATELLITE DATA; SPATIAL RESOLUTION; SPECIES DIVERSITY;

BIOMASS; CARBON; CLASSIFICATION; ELECTRIC FIELDS; FORESTS; REMOTE SENSING; RESOLUTION; SATELLITES; SOFTWOODS; UNITS OF MEASUREMENT;

EUROPE;

EID: 77954814676     PISSN: 03781127     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.foreco.2009.10.011     Document Type: Article

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